资源列表
Mfile
- 假设用图示所示的两个正交信号经由一个AWGN信道传输二进制信息，在持续期Tb的每个比特区间接收到的信号以10/Tb速率采样，即每个比特区间内10个样本，幅度为A。噪声是均值为零，方差为 的高斯过程。 写MATLAB程序，在方差为0,0.1,1.0和2.0时，完成接收信号和两种发射信号的每一种的离散时间相关，画出在时刻k=1,2,…,10相关器的输出。-Assuming an AWGN channel transmission via binary information in two ort
SG-level-control
- 蒸汽发生器的水位控制微分方程的求解程序，附带多种工况-use matlab to simulate SG level control under various Working conditions
single_prosses_Simulink
- 基于 simulink的通信仿真，调制解调，BPSK BFSK,QDPSK等-Communication simulation, based on Simulink modulation and demodulation of BFSK, BPSK, QDPSK etc.
xiaobofenxiquzao
- 小波分析在脑电信号中的应用及其用matlab仿真实现-The application of wavelet analysis in eeg signals and the matlab simulation
OFDM_LS_CS_randn
- 应用于低压电力线载波通信的OFDM系统仿真，采用了压缩感知的方法进行信道估计，与LS算法比较，仿真效果良好。-Used in low-voltage power line carrier communication OFDM system simulation, using the compressed sensing method for channel estimation, simulation good effect.
CS_different_polit
- 低压电力线载波通信的OFDM系统仿真，采用了压缩感知的方法进行信道估计，分别选取不同导频数目与LS算法比较，仿真效果良好。-OFDM power line carrier communication system simulation, using the compressed sensing method for channel estimation, respectively, to select a different number of pilot and LS algorithm, t
Disparity
- 如何计算disparity和disparity map-disparity and disparity map calculation.....
MIMONMPC
- 多入多出的非线性预测控制，供大家学习和研究。-MIMO nonlinear predictive control for all learning and research.
64QAM
- 64QAM的仿真和误码率分析，含有星座图映射，串并转换，平方根升余弦匹配滤波，采样插值等模块-64QAM BER simulation and analysis, containing constellation mapping, SERDES, square root raised cosine matched filtering, sampling interpolation module
FUZZY-PID-Adaptive-CONTROL
- 包含如何调试模糊pid自适应控制的参数方法及其分析，还有原系统程序，内循环，外循环系统，根轨迹，最后是模糊PID自适应控制，都在word上，可以复制粘贴直接运行-How to debug method contains parameters adaptive fuzzy pid control and analysis, as well as the original system program, the inner loop and outer loop systems, root locu
dpdsimulation_matlab
- 基带数字预失真DPD算法，实现对功放的非线性矫正，以及功放的模型实现。-Baseband digital predistortion DPD algorithm to achieve nonlinear amplifier correction, as well as the amplifier model implementation.
tdnn
- TDNN for time series forecasting